Benjamin Reavill

Senior Data Engineer - HealthTech$150,000 - $200,000  Fully RemoteFull time / Permanent A fast-growing healthcare technology start up is looking for a Senior Data Engineer to join their team. They are actively working with large healthcare organizations across the U.S, helping them get more value from their data through AI-powered clinical tools. This work has a direct impact on how care is delivered and the data teams sit at the centre of that. This is a hands-on role. You will be building and owning data pipelines that feed real AI systems used by clinicians every day. Why JoinSmall, collaborative teams where senior engineers have real ownershipClear progression to director. The company is growing and promotes from withinCompetitive base salary, equity, flexible hours, and strong benefitsWork that has a tangible impact on patient care across the U.S.The Role You will join a small team responsible for integrating data from large healthcare organisations into a modern cloud data platform. Day to day, you will be building pipelines, validating data quality, and making sure the right data reaches the right systems reliably and on time. You will also contribute to shared tools and frameworks that make future integrations faster, work that scales well beyond your individual projects. What We're Looking For4 years of experience building production data pipelinesStrong SQL skills across large, complex datasetsProficiency in Python for data transformationExperience with cloud-based data platforms and distributed processing toolsComfortable working with healthcare data formats and standards, or willing to learn quicklyExperience with Azure cloud servicesUseful but not essential:Background in healthcare data or EHR systemsExperience with modern lakehouse architecturesExposure to real-time data pipelines or message-based data feedsExperience in a SaaS or multi-tenant environmentTech Stack Azure Data Factory - Databricks - Python - SQL - PySpark - CI/CD tooling - Healthcare data standards What Success Looks LikePipelines delivered on time, well tested, and clearly documentedData quality issues caught early — before they reach productionReusable components that speed up future workStrong working relationships with partner technical teamsNoteworthy - This is a full-time / permanent role and cannot be considered for C2C, C2H, or any other temporary contracts.

Senior Data Engineer - HealthTech$150,000 - $200,000  Hybrid - Houston, TX Full time / Permanent A fast-growing healthcare technology start up is looking for a Senior Data Engineer to join their team. They are actively working with large healthcare organizations across the U.S, helping them get more value from their data through AI-powered clinical tools. This work has a direct impact on how care is delivered — and the data teams sit at the centre of that. This is a hands-on role. You will be building and owning data pipelines that feed real AI systems used by clinicians every day. Why JoinSmall, collaborative teams where senior engineers have real ownershipClear progression to director. The company is growing and promotes from withinCompetitive base salary, equity, flexible hours, and strong benefitsWork that has a tangible impact on patient care across the U.S.The Role You will join a small team responsible for integrating data from large healthcare organisations into a modern cloud data platform. Day to day, you will be building pipelines, validating data quality, and making sure the right data reaches the right systems reliably and on time. You will also contribute to shared tools and frameworks that make future integrations faster, work that scales well beyond your individual projects. What We're Looking For4 years of experience building production data pipelinesStrong SQL skills across large, complex datasetsProficiency in Python for data transformationExperience with cloud-based data platforms and distributed processing toolsComfortable working with healthcare data formats and standards, or willing to learn quicklyExperience with Azure cloud servicesUseful but not essential:Background in healthcare data or EHR systemsExperience with modern lakehouse architecturesExposure to real-time data pipelines or message-based data feedsExperience in a SaaS or multi-tenant environmentTech Stack Azure Data Factory - Databricks - Python - SQL - PySpark - CI/CD tooling - Healthcare data standards What Success Looks LikePipelines delivered on time, well tested, and clearly documentedData quality issues caught early — before they reach productionReusable components that speed up future workStrong working relationships with partner technical teamsNoteworthy - This is a full-time / permanent role and cannot be considered for C2C, C2H, or any other temporary contracts.

Senior Agentic AI Engineer$300,000 - $400,000Onsite, Palo Alto (Remote for exceptional talent)Full time / PermanentA well-known, frontier GenAI company is undergoing a major product pivot, moving from single-modal generative experiences toward a consumer multi-agent ecosystem designed to feel genuinely autonomous, useful, and alive.They’re building the core infrastructure that will define how millions of users interact with AI agents daily. From planning and execution to memory, creativity, and proactive behaviour. This role sits at the heart of this shift: designing and shipping the systems that make intelligent agents function for 1M users.What You’ll DoDesign and evolve the agent runtime, the core loop handling reasoning, tool use, planning, memory retrieval, and response generationBuild agent capabilities across modalities (e.g. image/video generation, voice interaction, browsing, code execution) and ship themOwn LLM orchestration and model routing across multiple providers, optimising latency, cost, reliability, and qualityImplement memory systems that allow agents to learn from interactions (long-term memory, episodic recall, semantic retrieval)Prototype and productionize autonomous behaviours such as proactive task execution, scheduling, and goal-directed workflowsCreate evaluation frameworks and metrics that measure agent quality, personality consistency, and real user impactWhat “Great” Looks LikeYou’ve personally built and shipped agentic systems, not just prompt wrappers or demosYou’re comfortable owning ambiguous, greenfield problems and turning ideas into working product fastYou think in systems: distributed workflows, multi-step reasoning, orchestration, reliabilityYou code daily and care deeply about performance, UX feel, and real-world usefulness(If you’re looking for a narrowly scoped role, heavy process, or pure research track, then this won’t be the right fit.)Why JoinJoin at a genuine product inflection point, early access launch, new architecture direction, and strong internal momentumWork in a small, elite engineering cohort where each senior hire has outsized ownership and influenceHelp define the company’s next-generation agent platform and model infrastructure from the ground upCollaborate closely with product leadership and shape how consumer AI agents evolve in the real worldClear trajectory toward technical leadership and founding-level impact as the organisation scalesIf you’ve built real agent systems and want to work on problems that don’t have playbooks yet, please apply with your resume!